What Data for This Category Looks Like
Securities investment research data primarily comes from sources including brokerage research reports, listed company financial reports, regulatory agency announcements, and industry database APIs. Update frequencies vary by content type: financial reports are updated on a fixed quarterly and annual schedule, emergency announcements are pushed in real time, and industry data is updated daily or weekly. Document structures follow standardized formats: research reports have fixed headers and chaptered professional text, financial reports consist of structured tabular data, and regulatory announcements mostly contain text with fixed fields. Common fields include ratings, target prices, attributable net profit, ROE, and more. Units include yuan, 100 million yuan, percentage, price-to-earnings ratio multiples, and others.
Constraints Imposed on Document Parsing and Chunking by These Characteristics
The characteristics of securities investment research data create multiple constraints for the document parsing and chunking workflow. First, a single research report or collection of multiple reports often reaches tens of megabytes. Large file parsing takes significant time, so the workflow must support higher file size thresholds and longer timeout periods. Second, a large number of structured tables contain standardized business fields. The parsing process must accurately extract table content without breaking column-wise data correspondence. Third, professional terminology and core business units such as valuation models and rating conclusions must retain complete context. Chunk length must align with the logical units of professional text to avoid semantic fragmentation caused by improper splitting. Finally, batch files updated at high frequency require efficient parsing workflows that support parallel processing of multiple files.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 1000–2000 MB | Meets the needs of large files such as collections of multiple research reports and full annual financial reports in the securities research scenario |
CHUNK_SIZE | 800–1200 characters | Securities research reports contain professional terminology and long paragraphs. This range preserves business logic integrity and avoids splitting that disrupts core units such as valuations and ratings |
CHUNK_OVERLAP | 100–200 characters | Preserves contextual connections across chunks, facilitating retrieval of related industry data and company analysis content |
UPLOAD_PARSE_TIMEOUT | 600 seconds | Large file parsing takes extended time. This duration prevents timeout interruptions |
TABLE_PARSE_MODE | Structured extraction | Securities financial reports and research report tables contain standardized business fields. Structured extraction preserves data integrity |
SIMILARITY_THRESHOLD | 0.75–0.85 | Meets the needs of precise retrieval of professional terminology and core data in the securities research scenario |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Configuration Errors
- Issue: When uploading a Word research report collection of around 15 MB, the parsing process takes more than 15 minutes and eventually returns a timeout error. Cause: The
PARSE_FILE_MAX_SIZEandUPLOAD_PARSE_TIMEOUTparameters were not adjusted. The default file size and timeout thresholds cannot cover the large file scenario for securities investment research. - Issue: After importing Excel-format monthly industry data, the chunking result merges multi-column row-wise data into a single text block. Cause: The
EXCEL_ROW_BASED_SPLITconfiguration was not enabled. The default parsing mode processes the entire worksheet as a whole and does not perform row-by-row splitting. - Issue: When searching for the term "attributable net profit" for a specific financial report, the corresponding chunk cannot be retrieved, but the same operation works normally when creating a new blank knowledge base. Cause: Cache configurations from an old knowledge base were not cleared, or the
CHUNK_SIZEparameter of the old knowledge base was set incorrectly, causing core fields to be split and lost.
How to Verify Correct Configuration
- Upload a single Word research report larger than 10 MB, check the parsing progress and results to confirm no timeout interruptions occur.
- Import Excel-format test data, verify that the chunking result splits data by row, and confirm each row of data corresponds to an independent chunk.
- Enter professional terminology such as "attributable net profit", test whether the retrieval results include the corresponding content, and adjust
SIMILARITY_THRESHOLDto the range that meets business requirements. - Batch upload multiple PDF financial reports, confirm that the parsing results of each document can be individually identified and aggregated.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.